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The Collaborating, Learning & Adapting (CLA) Maturity Tool has been used by USAID operating units since 2015. The tool enables staff to self-assess their current CLA practice and plan ways to improve their internal and external collaboration, organizational learning efforts, and adaptive management practices. Recently, SI built on this resource to create the CLA Maturity Tool for implementing partners (IPs) to provide a version that speaks more directly to the experience of international and local organizations. Learn more here.

How can donors and grantees work together to create effective monitoring, evaluation, and learning (MEL) practices that drive field-wide transformation? The Open Society Foundation’s Fiscal Governance Program found success by focusing on six key approaches, including empowering grantees and relinquishing power. In 2021, an external close-out evaluation by Intention to Impact of the program (which ran for 7 years and gave over $150 million in grants) revealed something pretty remarkable—the...

“Hacking by the prompt”—writing simple yet creative conversational instructions in ChatGPT's message window—revealed many valuable additions to the evaluator's toolbox for all stages of the evaluation process. This includes the production of terms of reference and proposals for the dissemination of final reports. ChatGPT does not come with an instruction book, so evaluators must experiment creatively to understand its potential. The surprising performance of ChatGPT leads to the question:...

Effective learning is a key driver of market systems change, with the potential to enhance system competitiveness, resilience, and inclusiveness. Shifting the Locus of Learning: Catalyzing Private Sector Learning to Drive Systemic Change recently outlined a rationale for enhancing the scale and quality of learning in a system and identifying 10 strategies programs can contextualize to catalyze learning. These strategies are also backed with robust examples from 13 programs doing this work...

Large language models (LLMs) are a type of generative artificial intelligence (AI) designed to produce text-based content. LLMs use deep learning techniques and massively large data sets to understand, summarize, generate, and predict new text. LLMs caught the public eye in early 2023 when ChatGPT (the first consumer facing LLM) was released. LLM technologies are driven by recent advances in deep-learning AI techniques, where language models are trained on extremely large text data from the...

This document describes key principles of the Value for Investment evaluation approach and provides guidance on how to use it to design and implement evaluations, using the evaluation of the Youth Primary Mental Health and Addictions (Youth PMHA) initiative as an illustrative example.

This document offers practical guidance for assessing the Value for Money (VfM) of government- and donor-financed programmes and policy interventions. In line with OPM’s focus and mission, it has been predominantly applied in the international development sector, but the approach upon which it is based is also used in the context of domestic public policy and programmes.1 There is increasing scrutiny on VfM in international development, but a lack of appropriate methods to support its...

How can we measure and learn when promoting systems change? It’s a challenge that has inspired Laudes Foundation to develop a rubrics-based methodology to help us, our partners and the wider field of philanthropy, understand our contribution to change, while learning and adapting to new and unforeseen circumstances. Change cannot be captured by numbers alone because metrics put the focus on what can be counted, not always what’s most important. Rubrics are a framework that set a standard...

Systems thinking approaches are gaining traction as an effective way of understanding and working with increasing complexity. They are being put forward by the Organisation for Economic Co-operation and Development as well as the World Health Organisation as a way to tackle the complex and unpredictable environments we now operate in. As the world has become increasingly interconnected, national or local boundaries cannot isolate and control social problems. The climate emergency, war and...

While many knowledge workers may fear that the rise of artificial intelligence (AI) will threaten their jobs, this article argues that small evaluation businesses should embrace AI tools to increase their value in the marketplace and remain relevant. In this article, consultants from a research, evaluation, and strategy firm, Intention 2 Impact, Inc., make a case for using AI tools to disrupt business as usual in evaluation from theoretical and practical perspectives. Theoretically, AI may...

Audience This guidance is primarily aimed at development and humanitarian professionals who design or manage monitoring and evaluation processes to support design and implementation of qualitative monitoring using Most Significant Change (MSC), Outcome Harvesting (OH), or Outcome Mapping (OM), which are participatory, outcome-focused qualitative methods. Purpose This guidance is a resource to strengthen qualitative monitoring, specifically addressing commonplace gaps or weakness in the...

How can we transform monitoring and evaluation (M&E) into a more adaptive, emergent process to address uncertainty and complexity in todays’ world? How do we move from compliance and accountability to learning – to support better, more timely, decisions? Join GEI Program Manager, Dugan Fraser, as he discusses these questions and others with Special Guest, Søren Haldrup, from UNDP's Strategic Innovation Unit where he manages UNDP's innovation facility and leads a new initiative called the M&E Sandbox.

This guidance seeks to ensure that UK Aid Direct applicants and grant holders understand what the Foreign, Commonwealth & Development Office (FCDO) means by beneficiary feedback mechanisms, and more specifically, that they: • Understand the terms used that relate to beneficiary feedback mechanisms in UK Aid Direct guidance and templates • Understand beneficiary feedback mechanisms and why they are a useful tool for project monitoring and learning • Learn how to use beneficiary feedback...

This CDI Practice Paper by Tom Aston and Marina Apgar makes the case for ‘bricolage’ in complexity-aware and qualitative evaluation methods. It provides a framework based on a review of 33 methods to support evaluators to be more intentional about bricolage and to combine the component parts of relevant methods more effectively. It discusses two cases from practice to illustrate the value added of taking a more intentional approach. It further argues that navigating different forms of...

The CLARISSA Nepal team collected and analysed 400 life stories of children and young people engaged in or affected by the worst forms of child labour (WFCL), particularly in the “Adult Entertainment” sector in Nepal, which includes children working in Dohoris (restaurants playing folk music), dance bars, spa-massage parlours, khaja ghars (tea/snack shop) and guest houses. Stories were also collected from children in CLARISSA’s focus neighbourhoods, children in this category...

Process tracing is a causal methodology that can help people understand how a particular large-scale change actually happened within a complex dynamic environment. Much of the existing literature provides important information about the method; we wrote this brief to help more people operationalize the concepts and learn about practical steps for using this method more easily, with quality, and toward a more equitable world. This piece was written based on our experiences implementing...